CN101794513A - Method and device for preprocessing floating car data - Google Patents
Method and device for preprocessing floating car data Download PDFInfo
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- CN101794513A CN101794513A CN200910244149A CN200910244149A CN101794513A CN 101794513 A CN101794513 A CN 101794513A CN 200910244149 A CN200910244149 A CN 200910244149A CN 200910244149 A CN200910244149 A CN 200910244149A CN 101794513 A CN101794513 A CN 101794513A
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- G08G1/00—Traffic control systems for road vehicles
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Abstract
The invention discloses method and device for preprocessing floating car data and relates to the field of intelligent traffic. The invention solves the problem that the prior art can not distinguish whether the data generated when a floating car generates GPS data in a parking state is passive parking data or active parking data . The method comprises the following steps of: filtering error data in the original floating car data; restoring the floating car data after filtering the error data in a unit of a car; and distinguishing the passive parking data and the active parking data from the floating data generated by each car according to the floating car data information. The embodiment of the invention is mainly applied to an intelligent traffic processing system.
Description
Technical field
The present invention relates to intelligent transportation field, relate in particular to a kind of preprocess method and device of floating car data.
Background technology
The Floating Car technology is to obtain one of technological means of Traffic Information in the international intelligent transportation system.The Floating Car disposal system is according to floating car data, be that Floating Car is in the process of moving by GPS terminal (GlobalPositioning System, GPS) Ji Lu positional information, pass through the processing of correlation computations models such as data pre-service, map match then, thereby floating car data and urban road network are associated on time and space, finally obtain traffic congestion information such as the Vehicle Speed of road that Floating Car is passed through and hourage.If in the city, dispose the Floating Car of sufficient amount, just can obtain dynamic, the real-time traffic congestion information of entire city.
Because the GPS terminal is blocked by buildings or other odjective causes sometimes on the Floating Car, can there be some misdatas or drift data in the floating car data that gets access to, when perhaps in certain period, having the initiative dead ship condition owing to Floating Car, as be in suspended state or when side, road empty wagons is received guests, also can produce interfering data, will cause the Floating Car disposal system can not carry out the calculating of transport information exactly if these abnormal datas are not carried out pre-service, thereby make the erroneous judgement of this road traffic condition.
Yet, the inventor finds in the prior art Floating Car disposal system, and there are the following problems when carrying out the floating car data pre-service: when Floating Car is in dead ship condition, can't differentiate the gps data validity that Floating Car produces effectively when dead ship condition, as: when Floating Car is in passive dead ship condition, run into the parking of traffic lights, jam situation generation such as vehicle, the floating car data of this moment is valid data, needs to keep.But when Floating Car has the initiative dead ship condition, receive guests, stop such as empty wagons and have a rest etc., the floating car data of this moment is an abnormal data, need filter out.This moment, Floating Car disposal system of the prior art can not effectively be distinguished at the gps data that Floating Car produces when the dead ship condition.
Summary of the invention
Embodiments of the invention provide a kind of preprocess method and device of floating car data, have realized distinguishing from the data of floating passive parking data and active parking data.
For achieving the above object, embodiments of the invention adopt following technical scheme:
A kind of preprocess method of floating car data comprises:
Filter the misdata in the original floating car data;
With the floating car data after the described filter false data is that unit is deposited again with the vehicle;
From the unsteady data that each car produces, distinguish passive parking data and active parking data according to floating car data information.
A kind of pretreatment unit of floating car data comprises:
First filter element, the misdata that is used for filtering original floating car data;
Organization unit, being used for the floating car data after the described filter false data is that unit is deposited again with the vehicle;
Discrimination unit is used for distinguishing passive parking data and active parking data according to the unsteady data that floating car data information produces from each car.
The embodiment of the invention by the technique scheme description, after misdata is filtered from original floating car data, with the floating car data after the described filter false data is that unit is deposited again with the vehicle, can will belong to deposit data that same Floating Car produce together, for from the data of floating, distinguish passive parking data and initiatively parking data provide convenience.Travel through the data of each car correspondence then, from the unsteady data that each car produces, distinguish passive parking data and active parking data according to floating car data information.Thereby passive parking data and active parking data have been realized from the data of floating, distinguishing, solved when Floating Car when dead ship condition produces gps data, can not distinguish the data that produce this moment in the prior art is the still problem of active parking data of passive parking data, passive parking data and active parking data misdata have been filtered and have been distinguished by the technical program, when carrying out map match in the later stage, can keep passive parking data, filter initiatively parking data.Thereby also improved the accuracy of Floating Car disposal system when carrying out traffic information calculating, promoted the overall operation efficiency of Floating Car disposal system.
Simultaneously, because the floating car data of the technical program after with described filter false data is that unit is deposited again with the vehicle, the map match of being convenient to the later stage is handled, thereby has also improved the overall operation efficiency of Floating Car disposal system.
Description of drawings
In order to be illustrated more clearly in the embodiment of the invention or technical scheme of the prior art, to do to introduce simply to the accompanying drawing of required use in embodiment or the description of the Prior Art below, apparently, accompanying drawing in describing below only is some embodiments of the present invention, for those of ordinary skills, under the prerequisite of not paying creative work, can also obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the process flow diagram of the preprocess method of embodiment 1 floating car data;
Fig. 2 is the structural drawing of the pretreatment unit of embodiment 1 floating car data;
Fig. 3 is the process flow diagram of the preprocess method of embodiment 2 floating car datas;
Fig. 4 is the structural drawing of the pretreatment unit of embodiment 2 floating car datas.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the invention, the technical scheme in the embodiment of the invention is clearly and completely described, obviously, described embodiment only is the present invention's part embodiment, rather than whole embodiment.Based on the embodiment among the present invention, those of ordinary skills belong to the scope of protection of the invention not making the every other embodiment that is obtained under the creative work prerequisite.
Embodiment 1:
The embodiment of the invention provides a kind of preprocess method of floating car data, can distinguish passive parking data and active parking data from the data of floating, and as shown in Figure 1, this method comprises the steps:
101, the misdata in the original floating car data of filtration.
By to the original floating car data that receives carry out geographic position control and the control of speed extreme value, can tentatively filter out most of misdata, such as because the misdata of gps satellite error of calculation generation.Thereby can reduce Floating Car disposal system data volume to be processed, improve Floating Car disposal system operational efficiency.
102, be that unit is deposited again with the vehicle with the floating car data after the described filter false data.Can will belong to deposit data that same Floating Car produce together, thereby can conveniently distinguish passive parking data and parking data initiatively.The map match of being convenient to the later stage is simultaneously handled, thereby has also improved the overall operation efficiency of Floating Car disposal system.
103, from the unsteady data that each car produces, distinguish passive parking data and active parking data according to floating car data information.
Described passive parking data, such as the data that the parking that runs into traffic lights, jam situation generation owing to vehicle produces, these data are valid data, keep.And parking data initiatively is in the data that produce when state such as rests is received guests, stopped to empty wagons such as vehicle, and these data can be disturbed the coupling accuracy of later stage map, thereby are to need filtration.
By traveling through the data of each car correspondence, from the unsteady data that each car produces, distinguish passive parking data and active parking data according to floating car data information.Can solve when Floating Car when dead ship condition produces gps data, can not distinguish the data that produce this moment in the prior art is the still problem of active parking data of passive parking data, also reduced simultaneously the initiatively interference of parking data, both can guarantee the correctness of road matching, and improve traffic information and calculate accuracy rate; Can reduce operand again, improve Floating Car disposal system operational efficiency.
In order to realize technique scheme, the embodiment of the invention also provides a kind of pretreatment unit of floating car data, and as shown in Figure 2, this device comprises: first filter element 21, organization unit 22 and discrimination unit 23.
The misdata that first filter element 21 is used for filtering original floating car data.It is that unit is deposited again with the vehicle that organization unit 22 is used for the floating car data after the described filter false data.Can will belong to deposit data that same Floating Car produce together.Discrimination unit 23 is used for distinguishing passive parking data and active parking data according to the unsteady data that floating car data information produces from each car then.Thereby solved when Floating Car when dead ship condition produces gps data, can not distinguish the data that produce this moment in the prior art is the still problem of active parking data of passive parking data, passive parking data and active parking data misdata have been filtered and have been distinguished by the technical program, when carrying out map match in the later stage, can keep passive parking data, filter initiatively parking data.Thereby also improved the accuracy of Floating Car disposal system when carrying out traffic information calculating, promoted the overall operation efficiency of Floating Car disposal system.
Embodiment 2:
The embodiment of the invention is introduced a kind of preprocess method of floating car data in detail, and as shown in Figure 3, this method comprises the steps:
301, the misdata in the original floating car data of filtration.
By to the original floating car data that receives carry out geographic position control and the speed extreme value is controlled, can tentatively filter out most of misdata, described misdata may for instantaneous velocity less than zero or surpass the data of maximum travelling speed or may or also may be data in dynamic traffic issuing time scope not for data in dynamic information issue zone not.
Such as because the gps satellite error of calculation, can produce instantaneous velocity less than zero or surpass maximum travelling speed, such as the data of 200km/h, these data are invalid certainly, filter out.
Floating Car may spread all over entire city, but the zone of a city issue dynamic information is not an entire city, may be main city.Like this for those not the data in dynamic information issue zone be unwanted, directly just can filter by the judgement of longitude and latitude scope.
Because floating car data sends and the time error of reception, and the time that can have floating car data, these class data also were invalid not in current dynamic traffic issuing time scope, direct filtration is fallen in addition.By filtration, thereby can reduce Floating Car disposal system data volume to be processed, improve Floating Car disposal system operational efficiency these misdatas.
302, be that unit is deposited again with the vehicle with the floating car data after the described filter false data.
Floating car data after this step can adopt following manner with described filter false data when specific implementation is that unit is deposited again with the vehicle.At first the floating car data after the described filter false data is deposited successively according to the difference in floating car data source, and then the floating car data of same Data Source deposited successively according to the different vehicle ownership, and the data of same vehicle are deposited successively according to the sequencing in sampling time.
Through above-mentioned deposit operation again, can so that homogeneous data deposit continuously.Can travel through one time all floating car datas then, the data number that comprises of the vehicle number of the number in statistics source, same Data Source, same vehicle respectively, simultaneously to the corresponding memory headroom of every part primary distribution, rather than the Dram that carries out one by one distributes, at last to the stored memory structure assignment.Can improve the operational efficiency of Floating Car disposal system like this.
Because the data of floating send and the time error of reception, can exist a car in addition in the time repetition in the cycle of an issuing time, but longitude and latitude misdata inequality.After the data reorganization through this step, be easy to find this class misdata.Only keep first GPS point data for such data, all the other times, identical data can direct filtration be fallen.
303, in described data after depositing again, the average velocity that the floating car data that produces when same car exists current data and adjacent previous data filters described current data when presetting maximal rate.
Because under the situation about blocked by buildings in the GPS terminal on the Floating Car, Floating Car moving slowly, Floating Car is turned round and other interference are bigger, the gps data that Floating Car produced can produce drift or hop phenomenon back and forth takes place, and these class data can cause the road matching mistake.For preventing this class phenomenon, travel through the data of each car by this steps in sequence, these class data can be filtered, in the map match of back, do not mate.So both can guarantee the correctness of road matching, can improve running efficiency of system again.
304, from the unsteady data that each car produces, distinguish passive parking data and active parking data according to floating car data information.
Described passive parking data, such as the data that the parking that runs into traffic lights, jam situation generation owing to vehicle produces, these data are valid data, keep.And parking data initiatively is in the data that produce when state such as rests is received guests, stopped to empty wagons such as vehicle, and these data can be disturbed the coupling accuracy of later stage map, thereby are to need filtration.
Described floating car data information includes but not limited to following several: whether event information, status information, instantaneous velocity, Floating Car average velocity, the category of roads that is mated or Floating Car be in the traffic lights range of control.It is initiatively parking data or passive parking data that this step can be judged floating car data according in the floating car data information one or more.Introduce concrete deterministic process below in detail.
Because in the event information of the GPS point data of Floating Car, comprise this car and whether be that the guest gets off, the guest gets on the bus, the car door that locks door, unblanks, flame-out, other etc. information.So by judging the event information of Floating Car, whether just can judge is the active parking data, in the floating car data such as same car generation, in the event information of current data, exist the guest to get off, lock door or during misfire event, described current data difference is parking data initiatively.
Because the GPS point data of Floating Car has status information, comprise this car and be unloaded, fully loaded, task car, other etc. state.By this state, Floating Car the instantaneous velocity in issuing time cycle and mate the grade of road, just can judge that floating car data is passive parking data or parking data initiatively.Such as: less than default minimum speed, and status information is full load, and described data difference is passive parking data at the instantaneous velocity of current data, can think this moment because the passive parking that jam situation causes, thereby these class data are effectively, need to keep, and can not filter.
If at the instantaneous velocity of current data less than default minimum speed, and state is unloaded, and with the distance of adjacent previous data position during less than default minor increment, can corresponding sign be set to these class data, further judge it is passive parking data or active parking data again.Such as, if the described category of roads that floating car data mated that corresponding sign has been set is higher than when presetting category of roads, described data difference is passive parking data.Such as to mate road be overhead, highway because these roads are high-grade road, and Parking permitted, can think that because the passive parking data that blocks up and cause, these class data are valid data, need to keep, and can not filter.
If the described category of roads that floating car data mated that corresponding sign has been set is lower than default category of roads, and the Floating Car average velocity that produces described current data be not less than when mating the average velocity of road, described data difference is passive parking data.These class data are valid data, need to keep.If instead the described category of roads that floating car data mated that corresponding sign has been set is lower than default category of roads, and the Floating Car average velocity that produces described current data be lower than when mating the average velocity of road, described current data difference is the active parking data, this moment, these class data were interfering data, needed to filter.Generally only carry out map match with first or last data for this class active parking data when carrying out the map match in later stage, remainder data does not participate in map match, but its time information can be utilized.Thereby can reduce the operand of Floating Car disposal system, improve this running efficiency of system.
Also have a kind of situation can produce passive parking data in addition.As: Floating Car is positioned at the traffic lights crossing, and is positioned at the default wait scope of traffic light signal, and the instantaneous velocity of the current data that produces of described Floating Car can be passive parking data with described current data difference when being lower than preset speed values so.The default wait scope of described traffic light signal can be expressed as follows:
Category of roads is waited for the NI Link grade of scope correspondence
Class I highway [50,100] 0,1,2
Super Class II highway [50,80] 3
Other road [30,50] 4,5,7
The length of supposing each grade Link is L, and the length of the default wait scope of traffic light signal can calculate by following manner: if L/3 in the wait scope interval of above-mentioned correspondence, then gets the length of L/3 as the default wait scope of traffic light signal; If L/3 is lower than the interval lower limit of the wait scope of above-mentioned correspondence, the lower limit of then getting the wait scope interval of above-mentioned correspondence is preset the length of wait scope as traffic light signal; If L/3 is higher than the upper limit in the wait scope interval of above-mentioned correspondence, the higher limit of then getting the wait scope interval of above-mentioned correspondence is preset the length of wait scope as traffic light signal.Be positioned at the traffic lights crossing with object lesson explanation Floating Car below, and be positioned at the default wait scope of traffic light signal, and when the instantaneous velocity of the current data that described Floating Car produces is lower than preset speed values, described current data difference can be the detailed process of passive parking data so.
Suppose that it is that pairing wait scope interval is [50,100] on 1 the road that Floating Car is currently located at NI Link grade.The length L of described road is 300km, and this moment, the value of L/3 was 100, just in time was positioned at the wait scope interval of above-mentioned correspondence, just gets the length of 100km as the default wait scope of traffic light signal so this moment.Traffic lights on Floating Car and place road are at a distance of in 100km, and the instantaneous velocity of the current data that produces of described Floating Car can be passive parking data with described current data difference just when being lower than preset speed values.Just can think no matter be that Floating Car is zero load or full load condition at this moment, all to be valid data at this moment, can not filter because Floating Car is waited for the passive parking data that traffic lights produce.
In order to realize said method, the embodiment of the invention also provides a kind of pretreatment unit of floating car data, and as shown in Figure 4, this device comprises: first filter element 41, organization unit 42, the second filter elements 43 and discrimination unit 44.
The misdata that first filter element 41 is used for filtering original floating car data.Organization unit 42 is used for the floating car data after the described filter false data is deposited successively according to the difference in floating car data source, and the floating car data of same Data Source is deposited successively according to the different vehicle ownership, and the data of same vehicle are deposited successively according to the sequencing in sampling time.Can make things convenient for the map match in later stage to handle.Second filter element 43 is used in described data after depositing again, and the average velocity that the floating car data that produces when same car exists current data and adjacent previous data filters described current data when presetting maximal rate.
Described discrimination unit 44 comprises the first discriminating module 44A and the second discriminating module 44B.
Wherein, the first discriminating module 44A is used for the floating car data same car generation, in the event information of current data, exist the guest to get off, lock door or during misfire event, described current data difference is the active parking data, perhaps also be used for instantaneous velocity in current data less than default minimum speed, and state is unloaded, and with the distance of adjacent previous data position less than default minor increment, and the category of roads that is mated is lower than default category of roads, and the Floating Car average velocity that produces described current data be lower than when mating the average velocity of road, described current data difference is parking data initiatively.Other first discriminating module also can realize the above-mentioned initiatively two kinds of situations of parking data of distinguishing out respectively by two submodules.
The described second discriminating module 44B is used for instantaneous velocity in current data less than default minimum speed, and state is unloaded, and with the distance of adjacent previous data position less than default minor increment, the category of roads that is mated is higher than when presetting category of roads, and described current data difference is passive parking data.Perhaps also be used for instantaneous velocity in current data less than default minimum speed, and state is unloaded, and with the distance of adjacent previous data position less than default minor increment, the category of roads that is mated is lower than default category of roads, and the Floating Car average velocity that produces described current data be not less than when mating the average velocity of road, described current data difference is passive parking data.Perhaps also be used for instantaneous velocity in current data less than default minimum speed, and status information is full load, described current data difference is passive parking data.Perhaps also being used in current data is to be positioned at the traffic lights crossing by Floating Car, and is positioned at the default wait scope of traffic light signal and produces, and the instantaneous velocity of described current data is passive parking data with described current data difference when being lower than preset speed values.Other second discriminating module also can realize above-mentioned four kinds of situations distinguishing out passive parking data respectively by four submodules.
Distinguish passive parking data and active parking data by discrimination unit 44, when carrying out map match, can keep passive parking data, filter initiatively parking data in the later stage.Thereby also improved the accuracy of Floating Car disposal system when carrying out traffic information calculating, promoted the overall operation efficiency of Floating Car disposal system.
The embodiment of the invention is mainly used in intelligent transportation field, has realized distinguishing passive parking data and active parking data from the data of floating, and has improved the operational efficiency of Floating Car disposal system.
Through the above description of the embodiments, the those skilled in the art can be well understood to the present invention and can realize by the mode that software adds essential common hardware, can certainly pass through hardware, but the former is better embodiment under a lot of situation.Based on such understanding, the part that technical scheme of the present invention contributes to prior art in essence in other words can embody with the form of software product, this computer software product is stored in the storage medium that can read, floppy disk as computing machine, hard disk or CD etc., comprise some instructions with so that computer equipment (can be personal computer, server, the perhaps network equipment etc.) carry out the described method of each embodiment of the present invention.
The above; only be the specific embodiment of the present invention, but protection scope of the present invention is not limited thereto, anyly is familiar with those skilled in the art in the technical scope that the present invention discloses; can expect easily changing or replacing, all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection domain of described claim.
Claims (9)
1. the preprocess method of a floating car data is characterized in that, comprising:
Filter the misdata in the original floating car data;
With the floating car data after the described filter false data is that unit is deposited again with the vehicle;
From the unsteady data that each car produces, distinguish passive parking data and active parking data according to floating car data information.
2. the preprocess method of floating car data according to claim 1, it is characterized in that described misdata comprises: instantaneous velocity is less than zero or surpass the data of maximum travelling speed, not data in dynamic information issue zone and data in dynamic traffic issuing time scope not.
3. the preprocess method of floating car data according to claim 1 is characterized in that, described with the floating car data after the described filter false data with the vehicle be unit deposit again into:
Floating car data after the described filter false data is deposited successively according to the difference in floating car data source, and
The floating car data of same Data Source is deposited successively according to the different vehicle ownership, and
The data of same vehicle are deposited successively according to the sequencing in sampling time.
4. the preprocess method of floating car data according to claim 1 is characterized in that, also comprises:
In described data after depositing again, the average velocity that the floating car data that produces when same car exists current data and adjacent previous data filters described current data when presetting maximal rate.
5. the preprocess method of floating car data according to claim 1, it is characterized in that, described floating car data information is whether event information, status information, instantaneous velocity, Floating Car average velocity, the category of roads that is mated or Floating Car be in the traffic lights range of control
Described according to floating car data information from the unsteady data that each car produces, distinguish passive parking data and initiatively parking data comprise:
In the floating car data that same car produces, in the event information of current data, exist the guest to get off, lock door or during misfire event, described current data difference is parking data initiatively;
At the instantaneous velocity of current data less than default minimum speed, and state is unloaded, and with the distance of adjacent previous data position less than default minor increment, and the category of roads that is mated is lower than default category of roads, and the Floating Car average velocity that produces described current data be lower than when mating the average velocity of road, described current data difference is parking data initiatively;
At the instantaneous velocity of current data less than default minimum speed, and state is unloaded, and with the distance of adjacent previous data position less than default minor increment, when the category of roads that is mated is higher than default category of roads, described current data difference is passive parking data;
At the instantaneous velocity of current data less than default minimum speed, and state is unloaded, and with the distance of adjacent previous data position less than default minor increment, the category of roads that is mated is lower than default category of roads, and the Floating Car average velocity that produces described current data be not less than when mating the average velocity of road, described current data difference is passive parking data;
Less than default minimum speed, and status information is full load, and described current data difference is passive parking data at the instantaneous velocity of current data;
In current data is to be positioned at the traffic lights crossing by Floating Car, and is positioned at the default wait scope of traffic light signal and produces, and the instantaneous velocity of described current data is passive parking data with described current data difference when being lower than preset speed values.
6. the pretreatment unit of a floating car data is characterized in that, comprising:
First filter element, the misdata that is used for filtering original floating car data;
Organization unit, being used for the floating car data after the described filter false data is that unit is deposited again with the vehicle;
Discrimination unit is used for distinguishing passive parking data and active parking data according to the unsteady data that floating car data information produces from each car.
7. the pretreatment unit of floating car data according to claim 6, it is characterized in that, described organization unit is deposited the floating car data after the described filter false data successively according to the difference in floating car data source, and the floating car data of same Data Source is deposited successively according to the different vehicle ownership, and the data of same vehicle are deposited successively according to the sequencing in sampling time.
8. the pretreatment unit of floating car data according to claim 6 is characterized in that, also comprises:
Second filter element is used in described data after depositing again, and the average velocity that the floating car data that produces when same car exists current data and adjacent previous data filters described current data when presetting maximal rate.
9. the pretreatment unit of floating car data according to claim 6 is characterized in that, described discrimination unit comprises:
First discriminating module is used for the floating car data that produces at same car, exists the guest to get off, lock door in the event information of current data or during misfire event, and described current data difference is parking data initiatively; Perhaps
Also be used for instantaneous velocity in current data less than default minimum speed, and state is unloaded, and with the distance of adjacent previous data position less than default minor increment, and the category of roads that is mated is lower than default category of roads, and the Floating Car average velocity that produces described current data be lower than when mating the average velocity of road, described current data difference is parking data initiatively;
Second discriminating module, be used for instantaneous velocity in current data less than default minimum speed, and state is unloaded, and with the distance of adjacent previous data position less than default minor increment, the category of roads that is mated is higher than when presetting category of roads, and described current data difference is passive parking data; Perhaps
Also be used for instantaneous velocity in current data less than default minimum speed, and state is unloaded, and with the distance of adjacent previous data position less than default minor increment, the category of roads that is mated is lower than default category of roads, and the Floating Car average velocity that produces described current data be not less than when mating the average velocity of road, described current data difference is passive parking data; Perhaps
Also be used for instantaneous velocity in current data less than default minimum speed, and status information is full load, described current data difference is passive parking data; Perhaps
Also being used in current data is to be positioned at the traffic lights crossing by Floating Car, and is positioned at the default wait scope of traffic light signal and produces, and the instantaneous velocity of described current data is passive parking data with described current data difference when being lower than preset speed values.
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| WO2011079679A1 (en) | 2011-07-07 |
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